{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loadLibrary\n",
      "remoteSourcesURL https://git0.fmf.uni-lj.si/studen/nixSuite/raw/master/remoteResources/resources.json\n",
      "{'labkeyInterface': {'url': 'https://git0.fmf.uni-lj.si/studen/labkeyInterface/archive/master.zip', 'branch': 'master', 'modules': []}, 'irAEMM': {'url': 'https://git0.fmf.uni-lj.si/studen/iraemm/archive/master.zip', 'branch': 'master', 'modules': ['iraemmBrowser']}, 'SlicerLabkeyExtension': {'url': 'https://git0.fmf.uni-lj.si/studen/SlicerLabkeyExtension/archive/SlicerExtensionIndex.zip', 'branch': 'SlicerExtensionIndex', 'modules': ['labkeyBrowser']}, 'limfomiPET': {'url': 'https://git0.fmf.uni-lj.si/studen/limfomiPET/archive/master.zip', 'branch': 'master', 'modules': ['imageBrowser', 'segmentationBrowser']}, 'parseConfig': {'url': 'https://git0.fmf.uni-lj.si/studen/parseConfig/archive/master.zip', 'branch': 'master', 'modules': []}, 'orthancInterface': {'url': 'https://git0.fmf.uni-lj.si/studen/orthancInterface/archive/master.zip', 'branch': 'master', 'modules': []}}\n",
      "{'url': 'https://git0.fmf.uni-lj.si/studen/labkeyInterface/archive/master.zip', 'branch': 'master', 'modules': []}\n",
      "File  /home/studen/temp/labkeyInterface.zip: True\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "import os\n",
    "import SimpleITK\n",
    "import numpy\n",
    "import matplotlib.pyplot\n",
    "import subprocess\n",
    "import json\n",
    "import config\n",
    "import getData\n",
    "import segmentation\n",
    "import importlib\n",
    "importlib.reload(segmentation)\n",
    "importlib.reload(getData)\n",
    "importlib.reload(config)\n",
    "\n",
    "sys.path.append(os.path.join(os.path.expanduser('~'),'software','src','nixSuite','wrapper'))\n",
    "import nixWrapper\n",
    "nixWrapper.loadLibrary('labkeyInterface')\n",
    "import labkeyInterface\n",
    "import labkeyFileBrowser\n",
    "import labkeyDatabaseBrowser\n",
    "\n",
    "#manipulate segmentations\n",
    "#rewrite this\n",
    "#nim=getPatientNIM(pId)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loadLibrary\n",
      "remoteSourcesURL https://git0.fmf.uni-lj.si/studen/nixSuite/raw/master/remoteResources/resources.json\n",
      "{'labkeyInterface': {'url': 'https://git0.fmf.uni-lj.si/studen/labkeyInterface/archive/master.zip', 'branch': 'master', 'modules': []}, 'irAEMM': {'url': 'https://git0.fmf.uni-lj.si/studen/iraemm/archive/master.zip', 'branch': 'master', 'modules': ['iraemmBrowser']}, 'SlicerLabkeyExtension': {'url': 'https://git0.fmf.uni-lj.si/studen/SlicerLabkeyExtension/archive/SlicerExtensionIndex.zip', 'branch': 'SlicerExtensionIndex', 'modules': ['labkeyBrowser']}, 'limfomiPET': {'url': 'https://git0.fmf.uni-lj.si/studen/limfomiPET/archive/master.zip', 'branch': 'master', 'modules': ['imageBrowser', 'segmentationBrowser']}, 'parseConfig': {'url': 'https://git0.fmf.uni-lj.si/studen/parseConfig/archive/master.zip', 'branch': 'master', 'modules': []}, 'orthancInterface': {'url': 'https://git0.fmf.uni-lj.si/studen/orthancInterface/archive/master.zip', 'branch': 'master', 'modules': []}}\n",
      "{'url': 'https://git0.fmf.uni-lj.si/studen/labkeyInterface/archive/master.zip', 'branch': 'master', 'modules': []}\n",
      "File  /home/studen/temp/labkeyInterface.zip: True\n",
      "User: andrej studen CSRF: 6e34b15b3d6eaa542a222cb14a7b39e9\n"
     ]
    }
   ],
   "source": [
    "#\n",
    "\n",
    "fsetup='../template/cardiacSPECT.json'\n",
    "with open(fsetup,'r') as f:\n",
    "    setup=json.load(f)\n",
    "\n",
    "db,fb=getData.connectDB(setup['network'])    \n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "User: andrej studen CSRF: 2409a3854c59397477514732952a6ed6\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2000x1200 with 21 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def guessSegmentation(db,setup,pId='MM',visitName='MIR',sx=-1,sy=-1,sz=-1):    \n",
    "   idFilter={'variable':'PatientId','value':pId,'oper':'eq'}\n",
    "   visitFilter={'variable':'visitName','value':visitName,'oper':'eq'}  \n",
    "   rows=getData.getPatients(db,setup,[idFilter,visitFilter])\n",
    "   r=rows[0] \n",
    "   pixels=segmentation.guessPixelPosition4(sx,sy,sz) \n",
    "   segmentation.updateSegmentation(db,setup,r,pixels)\n",
    "\n",
    "#guessSegmentation(db,setup,sz=32,sx=33)\n",
    "def doPlotSegmentation(db,fb,setup,pId='MM',visitName='MIR'):\n",
    "   idFilter={'variable':'PatientId','value':pId,'oper':'eq'}\n",
    "   visitFilter={'variable':'visitName','value':visitName,'oper':'eq'}  \n",
    "   rows=getData.getPatients(db,setup,[idFilter,visitFilter])\n",
    "   r=rows[0] \n",
    "   segmentation.plotSegmentation(db,fb,r,setup)\n",
    "\n",
    "doPlotSegmentation(db,fb,setup)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#rarely used. Mostly, segmentation points are edited in LabKey\n",
    "rows=getData.getPatients(db,setup)\n",
    "for r in rows:\n",
    "    print('******{}******'.format(config.getCode(r,setup)))\n",
    "    segmentation.writeSegmentation(db,r,setup)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}